Remote sensing with a triple correlation spectrometer for trace gas identification

摘要

We showed that the output of a cross-correlation with gas spectra could be triple-correlated to reduce the effects of Gaussian noise for improved discrimination. Such processing is directly applicable to a correlation spectrometer but could be applied to other designs. In spite of the added processing, triple-correlating the output of a spectrometer allowed us to generally increase the SNR by over a factor of ten. We were able to discriminate between two gases at low SNR values with the triple correlation technique.